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Usually rerank is used in one dataset,but in your rerank.py you rerank source feature with target feature? Why? Or my understanding is fault?
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Hi I tried finetuning from n=5 with a datasets of cars from faces but the results after 28 kming
![fakes000028 (5)](https://user-images.githubusercontent.com/6818285/97200349-796ad380-1787-11eb-92fb-…
ghost updated
4 years ago
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### Lesson Title
Introduction to Bioinformatics workflows with Nextflow and nf-core
### Lesson Repository URL
https://github.com/carpentries-incubator/workflows-nextflow
### Lesson Website URL
ht…
gperu updated
4 months ago
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Hi, thanks for sharing your good work and I am trying to follow your work.
I have questions regarding to your training and testing data. Really appreciate you could answer them:
1. In the original…
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https://github.com/bepoetree/MTTOD/blob/7256673b083448c8ac2fdd8bb95cdb9baf52b2b1/reader.py#L121
I found that in the original code, one test example(num_turn=18) will be discarded. Simply change the a…
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Мини блог о курсовой работе.
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Can you share the download link for the file "./InternVL-Domain-Adaptation-Data/train_meta/internvl_1_2_finetune_drivelm.json"? drivelm data set has three data sets: train,val and test. I am not sure …
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### Description
DTO types that are defined in `src/app_service/service/*/dto/*.nim` should mirror the types in status-go. This used to be the case, but it has diverged over time. This is causing co…
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Dear author,
Sorry to bother you.
According to your open-source code, I reproduced the domain adaptation experiment from Potsdam RGB to Vaihingen IR-R-G. I cropped the image to a size of 512x512 acc…